The World's First AI-poweredSoftware and Partner Intelligence Layer
AI-powered software discovery at scale
Dotify is a large-scale AI-driven platform designed to transform how businesses discover, evaluate, and compare software and service providers.
Viso was responsible for full-cycle product development — from early discovery and architecture design to implementation and scaling.
The Challenge
The client had a bold vision:
Create the world’s first AI-powered intelligence layer for software and partner evaluation.
However, several major challenges stood in the way:
- No existing benchmark for AI-based software rating systems
- Highly complex data structuring requirements
- Need to replace subjective reviews with structured AI evaluation
- Large-scale architecture from day one
- Multi-role user ecosystem (Buyers, Sellers, Writers)
The product required not just development, but deep strategic product thinking.
Discovery Phase (Foundation for Success)
Discovery That Defined the Direction
Before writing a single line of code, the Viso team conducted a full Discovery Phase.
This included:
- Product vision alignment workshops
- Market positioning analysis
- Feature prioritization
- User journey mapping
- Technical architecture planning
- Risk assessment and scalability planning
We worked closely with the client in continuous brainstorming sessions to fully translate their vision into a structured, build-ready roadmap.
The result:
A clearly defined product scope, phased development plan, and scalable technical architecture — giving the project a powerful and confident start.
Team & Ownership
Full-Cycle Product Ownership
We didn’t operate as a task-based outsourcing vendor, we acted as a product partner.
Our team took full ownership of:
- Architecture decisions
- UX structure
- AI integration logic
- Performance optimization
- Quality assurance
- Delivery management
Close collaboration and regular brainstorming sessions with the client ensured that every technical decision reflected the original product vision.
Technical & Product Challenges
Key Development Challenges
1. Structured AI Rating System
Designing an unbiased AI scoring system required building structured evaluation criteria instead of relying on user-generated opinions.
2. Data Aggregation & Normalization
The platform required aggregation of large volumes of structured product data and metadata from multiple categories.
3. Scalable Multi-Role System
We built a flexible role-based architecture for Buyers, Sellers, and Writers with different access logic and feature sets.
4. AI Integration with Transparency
Unlike generic AI summaries, the system had to generate explainable, criteria-based insights.
5. High-Performance Search & Filtering
Advanced filtering logic was implemented to handle complex category comparisons and decision support workflows.
How We Solved It
Our Approach
- Modular scalable backend architecture
- Clear domain modeling for software evaluation
- AI-assisted data structuring and scoring logic
- Advanced filtering and comparison modules
- Continuous QA cycles and performance testing
- Iterative releases with stakeholder validation
Every major milestone was validated through client sessions to ensure alignment with long-term strategy.
The Result
The Outcome
- Enterprise-grade scalable SaaS architecture
- Fully structured AI-based evaluation engine
- Centralized comparison and decision support module
- Multi-role platform with expansion capabilities
- Clear roadmap for future AI enhancements
Most importantly, the product vision was successfully transformed into a structured, scalable, and technically robust platform.
Put a trust in our battle-tested team and our innovative development processes. No mess - No stress work attitude, only good results